The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The National Center for Biotechnology Information's Protein Clusters Database
Open accessAbstract
Rapid increases in DNA sequencing capabilities have led to a vast increase in the data generated from prokaryotic genomic studies, which has been a boon to scientists studying micro-organism evolution and to those who wish to understand the biological underpinnings of microbial systems. The NCBI Protein Clusters Database (ProtClustDB) has been created to efficiently maintain and keep the deluge of data up to date. ProtClustDB contains both curated and uncurated clusters of proteins grouped by sequence similarity. The May 2008 release contains a total of 285 386 clusters derived from over 1.7 million proteins encoded by 3806 nt sequences from the RefSeq collection of complete chromosomes and plasmids from four major groups: prokaryotes, bacteriophages and the mitochondrial and chloroplast organelles. There are 7180 clusters containing 376 513 proteins with curated gene and protein functional annotation. PubMed identifiers and external cross references are collected for all clusters and provide additional information resources. A suite of web tools is available to explore more detailed information, such as multiple alignments, phylogenetic trees and genomic neighborhoods. ProtClustDB provides an efficient method to aggregate gene and protein annotation for researchers and is available at http://www.ncbi.nlm.nih.gov/sites/entrez?db=proteinclusters.
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Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Mueller, L. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1164 · Cited by 3,395
Cited by
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NCBI Reference Sequences: current status, policy and new initiatives
Pruitt, K. D., Tatusova, T., Klimke, W., & Maglott, D. R. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn721 · Cited by 736
“Curated clusters from the Protein Clusters database (10) are used to provide updated and consistent functional annotation to RefSeq genomic records.”
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Everard, A., Lazarevic, V., Gaïa, N., Johansson, M., Ståhlman, M., Backhed, F., Delzenne, N. M., Schrenzel, J., François, P., & Cani, P. D. (2014) · The ISME Journal · doi:10.1038/ismej.2014.45 · Cited by 598
Chang, Y.-C., Hu, Z., Rachlin, J., Anton, B. P., Kasif, S., Roberts, R. J., & Steffen, M. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1324 · Cited by 56
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Metadata
- Authors
- Klimke, W., Agarwala, R., Badretdin, A., Chetvernin, S., Ciufo, S., Fedorov, B., Kiryutin, B., O’Neill, K., Resch, W., Resenchuk, S., Schafer, S., Tolstoy, I., & Tatusova, T.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-10-21
- Volume
- 37
- Issue
- suppl_1
- Pages
- D216-D223
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2017608260
- Cited by
- 260
- References
- 1
- FWCI
- 4.71
- Type
- journal article
- Language
- en
- Open access
- gold
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- Klimke, W., Agarwala, R., Badretdin, A., Chetvernin, S., Ciufo, S., Fedorov, B., Kiryutin, B., O’Neill, K., Resch, W., Resenchuk, S., Schafer, S., Tolstoy, I., & Tatusova, T. (2009). The National Center for Biotechnology Information's Protein Clusters Database. Nucleic Acids Research. https://doi.org/10.1093/nar/gkn734
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.